A challenge-based approach will bring together resources and
knowledge across different fields, technologies and disciplines, including social sciences and the humanities. This will cover
activities from research to market with a new focus on innovation-related activities, such as piloting, demonstration, test-beds,
and support for public procurement and market uptake.Funding focuses on the following
challenges:

Health, demographic change and wellbeing;

Food security, sustainable agriculture and forestry,
marine and maritime and inland water research, and the Bioeconomy;

Secure, clean and efficient energy;

Smart,
green and integrated transport;

Climate action, environment, resource efficiency and raw materials;

Europe
in a changing world - inclusive, innovative and reflective societies;

Secure societies - protecting freedom and security
of Europe and its citizens.

This Sub-Programme is structured
around seven specific objectives and research areas:

Reducing energy consumption and carbon footprint

Low-cost,
low-carbon electricity supply

Alternative fuels and mobile energy sources

A single, smart European electricity
grid

New knowledge and technologies

Robust decision making and public engagement

Market uptake of
energy and ICT innovation.

Call

Socio-economic research conceptualising and modelling energy efficiency and energy demand

Description of call"Socio-economic research conceptualising and modelling energy efficiency
and energy demand"

The aim of the action is to deepen the demand side-related parameters in existing models
and to include new aspects and data sources. In general, it is to be expected that the introduction of smart meters and smart
equipment will lead to more accurate consumption data providing for a more holistic mapping of the demand side and thus for
better projections inside energy policy development and a more effective regulatory framework. The action should complement
the existing demand side energy models by developing multiple-agent energy models and/or modelling segments and/or developing
methodologies on how to improve and enhance the demand side aspects in modelling.